PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-30 10:20:02.208379+00:00 (UTC)
In US/Central Time, this is 2024-06-30 05:20:02.208379-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/20656719ff883cd6ee250d09eaae802203df3039bf490dd58a668a1ca4bbc977.png
We are just generating a random time serie here.
../../_images/51d8908c436978ef096b7c9eae83a99c963d9ed8e86f0e340ff29f8289c7c29d.png
../../_images/f46cacecc6ac2068978330f777446d23805206ea41b2bf3dd592ebac2fa33907.png